{"id":"W2900561864","doi":"10.3389/fimmu.2018.02682","title":"The Utilization of Autoantibodies in Approaches to Precision Health","year":2018,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Autoantibody; Computational biology; Data science; Medicine; Computer science; Immunology; Biology; Antibody","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02535401,0.001647043,0.001924147,0.004674039,0.001747301,0.007550706,0.002098041,0.00528961,0.006781673],"category_scores_gemma":[0.02019388,0.0006839073,0.001445562,0.002727129,0.01710192,0.008396656,0.007053876,0.008622695,0.002339733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004754045,"about_ca_system_score_gemma":0.004578054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166188,"about_ca_topic_score_gemma":0.001665061,"domain_scores_codex":[0.9885068,0.006646318,0.0005556461,0.001487771,0.002352849,0.0004506446],"domain_scores_gemma":[0.973892,0.01689437,0.001450105,0.003911484,0.002782765,0.001069376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001211655,0.00007561637,0.001838457,0.001112923,0.0001590008,0.0001665757,0.0006221787,0.002175638,0.00186834,0.8336974,0.008808538,0.1493541],"study_design_scores_gemma":[0.0000364125,0.0002019323,0.0009273616,0.0009365306,0.00006622952,0.000302097,0.0003106153,0.002426535,0.00187589,0.8868037,0.1060462,0.00006646603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007868186,0.2726322,0.4857419,0.1322487,0.008040295,0.0002877874,0.0005112275,0.0009550222,0.09171467],"genre_scores_gemma":[0.3391602,0.2068287,0.376505,0.04557785,0.01322794,0.001085609,0.0004030027,0.000311611,0.01690019],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02535401,"threshold_uncertainty_score":0.1340864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1252085568791365,"score_gpt":0.3506332619533723,"score_spread":0.2254247050742358,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}